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All Journal COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Proceeding Of International Conference On Education, Society And Humanity
Furqan, Moh.
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Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Transportation

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Deteksi Objek untuk Menghitung Perkiraan Kalori Makanan Menggunakan Metode R-CNN Mask Berbasis Web Nadiyah, Nadiyah; Putri, Merlina Eka; Khairi, Matlubul; Furqan, Moh.; Yusman, Beny
COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Vol 5, No 1 (2024): Transformasi Digital: Tren dan Tantangan dalam Era Revolusi Industri 4.0
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/coreai.v5i1.8982

Abstract

Diet sebagai pengaturan pola makan seimbang yang sengaja dilakukan untuk mencapai tujuan tertentu. Pelaku diet defisit kalori harus selalu menghitung jumlah kalori dari makanan yang dikonsumsi, salah satu caranya adalah dengan menimbang setiap jenis makanan. Jika membawa timbangan kemana pun kita pergi kurang fleksibel. Dengan memanfaatkan tren foto makanan saat ini, estimasi jumlah kalori makanan dapat dihitung dengan mudah. tujuan dari penelitian ini adalah menghasilkan sebuah aplikasi untuk mendeteksi jumlah kalori pada makanan dengan menggunakan metode Mask Region Convulutional Neural Network (Mask R-CNN) berbasis web. Manfaat dari penelitian ini adalah untuk memudahkan para pelaku diet dalam menghitung estimasi jumlah kalori melalui foto makanan. Pada penelitian ini diusulkan untuk menggunakan metode Mask RCNN untuk mendeteksi kalori pada makanan berbasis web dari citra digital. Dataset yang digunakan pada penelitian ini menggunakan 5 jenis makanan yaitu ayam geprek, baso aci, hamburger, seblak dan bakwan dengan jumlah data 220 citra dan masing-masing kategori 50 citra dan untuk data testing menggunakan 22 citra setiap kelas makanan. Model pada penelitian ini dilatih dengan menggunakan metode Mask RCNN, yaitu data training menggunakan epoch 20 dengan nilai loss 0.2759, nilai loss val 0.8429 dan waktu 5226s. Hasil dari implementasi model berbasis web menggunakan framework flask  pada data uji coba citra sebanyak 22 gambar makanan dengan memperoleh nilai akurasi ayam geprek 60% dengan total kalori sebanyak 246,0 disetiap kelas, baso aci 60% dengan total kalori sebanyak 218,0 disetiap kelas, hamburger 60% dengan total kalori sebanyak 369,0 disetiap kelas, seblak 80% dengan total kalori sebanyak 269,0 disetiap kelas dan bakwan 40% dengan total kalori sebnayak 137,0 di setiap kelas.
Sistem Analisis Kepadatan Lalu Lintas Menggunakan Teknologi YOLOv8 Nadiyah, Nadiyah; Yusman, Beny; Furqan, Moh.; Arifin, Zainal
COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Vol 6, No 1 (2025): Kecerdasan Buatan dalam Meningkatkan Efisiensi Bisnis
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/coreai.v6i1.12217

Abstract

Kemacetan lalu lintas menjadi salah satu tantangan utama di perkotaan yang memengaruhi efisiensi transportasi dan produktivitas masyarakat. Penelitian ini mengembangkan sistem analisis kepadatan lalu lintas berbasis YOLOv8, teknologi terbaru dalam deteksi objek. Dataset yang digunakan mencakup gambar kendaraan beranotasi dari berbagai kondisi. Model YOLOv8 dilatih untuk mendeteksi dan menghitung kendaraan secara real-time pada video. Evaluasi dilakukan berdasarkan akurasi dan kecepatan pemrosesan dalam berbagai kondisi pencahayaan dan cuaca. Hasil menunjukkan YOLOv8 mencapai akurasi deteksi 88%, membuktikan kemampuannya untuk menganalisis kepadatan lalu lintas secara efisien. Sistem ini berpotensi diimplementasikan dalam manajemen lalu lintas cerdas untuk mengoptimalkan waktu sinyal dan mengurangi kemacetan. Penelitian selanjutnya dapat mengintegrasikan sistem ini dengan perangkat IoT untuk aplikasi transportasi cerdas yang lebih luas.
IMPACT OF DIGITAL LEARNING TOOLS ON STUDENT ENGAGEMENT IN ELEMENTARY SCHOOLS Nadifah, Nadifah; Novita, Mona; Furqan, Moh.
PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY Vol 2, No 2 (2024): Third International Conference on Education, Society and Humanity
Publisher : PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study highlights the positive impact of digital learning media on students' academic performance. The analysis shows that the frequency of media usage, the type of media used, and students' perceptions of media effectiveness all have a significant relationship with academic outcomes. The perception of media effectiveness has the strongest correlation (0.55) with a p-value of 0.001, indicating that well-designed media is crucial for supporting student comprehension. These findings confirm Mayer's (2001) multimedia learning theory, emphasizing the importance of verbal and visual elements in learning. Sweller's (1988) cognitive theory suggests that well-designed digital media can reduce cognitive load. The study also emphasizes the role of intrinsic motivation in learning, as described by Deci and Ryan (1985), showing that interactive digital media can enhance students' motivation.Furthermore, adapting technology to local conditions is critical in improving learning outcomes. Therefore, schools in Indonesia need to develop teacher training, adequate infrastructure, and relevant digital content to maximize the benefits of technology in education. This study proposes the implementation of digital media in SD Namira as a model that other schools can adopt to enhance students' academic achievements by integrating technology into the learning process. 
LEARNING INNOVATION: IMPROVING EDUCATIONAL EFFECTIVENESS IN THE DIGITAL AGE Mustafa, Muhammad; Furqan, Moh.
PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY Vol 2, No 2 (2024): Third International Conference on Education, Society and Humanity
Publisher : PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of digital technology has had a significant impact on the education sector. Using technology in learning enables innovations to improve the effectiveness of the learning process. This article aims to analyze learning innovations that can enhance the effectiveness of education in the digital era. A literature review was conducted to explore the concept of learning in the digital era, identify the advantages and challenges faced in implementing technology in education, and examine the development of teaching innovations in the digital era. The research method used is a literature review of related research and an analysis of relevant data and findings. The results of this study provide a better understanding of the effectiveness of learning innovations in the digital era. Factors that influence the effectiveness of learning innovations are also analyzed to provide a comprehensive picture of the influence of technology in education. The discussion of this article highlights the effectiveness of learning innovations in the digital era, considering the advantages and challenges that arise. The implications of the findings of this study for learning practices are identified and presented, and relevant recommendations are provided to support the effective use of learning innovations in the context of digital education. This study concludes that learning innovations can improve the effectiveness of education in the digital era. However, it is important to consider the factors that influence the success of these innovations, such as teacher technological competence, infrastructure availability, and adequate policy support. This article makes an important contribution to understanding technology use in education and provides a basis for further research in this area. 
Co-Authors Ariska, Aprilia Dwi Beny Yusman Khairi, Matlubul Mona Novita Muafi Mustafa, Muhammad Nadifah, Nadifah Nadiyah Nadiyah Puryantoro P Putri, Merlina Eka Zainal Arifin